Analysis of the tennis racket vibrations during forehand drives: Selection of the mother wavelet

The time–frequency analysis of the tennis racket and hand vibrations is of great interest for discomfort and pathology prevention. This study aimed to (i) to assess the stationarity of the vibratory signal of the racket and hand and (ii) to identify the best mother wavelet to perform future time–fre...

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Bibliographic Details
Published in:Journal of biomechanics 2017-08, Vol.61, p.94-101
Main Authors: Blache, Y., Hautier, C., Lefebvre, F., Djordjevic, A., Creveaux, T., Rogowski, I.
Format: Article
Language:English
Subjects:
Accelerometers
Adult
Biomechanics
Debauchies
Electromyography
Engineering Sciences
Fast Fourier transformations
Fault diagnosis
Fourier analysis
Frequency analysis
Frequency dependence
Hand
Hand - physiology
Humans
Male
Mechanics
Signal processing
Stationarity
Tennis
Tennis rackets
Time-frequency analysis
Time–frequency
Vibration
Vibrations
Wavelet Analysis
Wavelet transforms
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Summary:The time–frequency analysis of the tennis racket and hand vibrations is of great interest for discomfort and pathology prevention. This study aimed to (i) to assess the stationarity of the vibratory signal of the racket and hand and (ii) to identify the best mother wavelet to perform future time–frequency analysis, (iii) to determine if the stroke spin, racket characteristics and impact zone can influence the selection of the best mother wavelet. A total of 2364 topspin and flat forehand drives were performed by fourteen male competitive tennis players with six different rackets. One tri-axial and one mono-axial accelerometer were taped on the racket throat and dominant hand respectively. The signal stationarity was tested through the wavelet spectrum test. Eighty-nine mother wavelet were tested to select the best mother wavelet based on continuous and discrete transforms. On average only 25±17%, 2±5%, 5±7% and 27±27% of the signal tested respected the hypothesis of stationarity for the three axes of the racket and the hand respectively. Regarding the two methods for the detection of the best mother wavelet, the Daubechy 45 wavelet presented the highest average ranking. No effect of the stroke spin, racket characteristics and impact zone was observed for the selection of the best mother wavelet. It was concluded that alternative approach to Fast Fourier Transform should be used to interpret tennis vibration signals. In the case where wavelet transform is chosen, the Daubechy 45 mother wavelet appeared to be the most suitable.
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2017.07.006